Literature DB >> 32141837

User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis.

Vivian Ta1, Caroline Griffith1, Carolynn Boatfield1, Xinyu Wang1, Maria Civitello1, Haley Bader1, Esther DeCero1, Alexia Loggarakis1.   

Abstract

BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stressful situations or health improvements. Little research has examined social support received from artificial agents in everyday contexts.
OBJECTIVE: Considering that social support manifests in not only crises but also everyday situations and that everyday social support forms the basis of support received during more stressful events, we aimed to investigate the types of everyday social support that can be received from artificial agents.
METHODS: In Study 1, we examined publicly available user reviews (N=1854) of Replika, a popular companion chatbot. In Study 2, a sample (n=66) of Replika users provided detailed open-ended responses regarding their experiences of using Replika. We conducted thematic analysis on both datasets to gain insight into the kind of everyday social support that users receive through interactions with Replika.
RESULTS: Replika provides some level of companionship that can help curtail loneliness, provide a "safe space" in which users can discuss any topic without the fear of judgment or retaliation, increase positive affect through uplifting and nurturing messages, and provide helpful information/advice when normal sources of informational support are not available.
CONCLUSIONS: Artificial agents may be a promising source of everyday social support, particularly companionship, emotional, informational, and appraisal support, but not as tangible support. Future studies are needed to determine who might benefit from these types of everyday social support the most and why. These results could potentially be used to help address global health issues or other crises early on in everyday situations before they potentially manifest into larger issues. ©Vivian Ta, Caroline Griffith, Carolynn Boatfield, Xinyu Wang, Maria Civitello, Haley Bader, Esther DeCero, Alexia Loggarakis. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.03.2020.

Entities:  

Keywords:  artificial agents; artificial intelligence; chatbots; interpersonal relations; social support

Year:  2020        PMID: 32141837     DOI: 10.2196/16235

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  9 in total

1.  Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot.

Authors:  Laura Maenhout; Carmen Peuters; Greet Cardon; Sofie Compernolle; Geert Crombez; Ann DeSmet
Journal:  Front Public Health       Date:  2021-11-11

2.  Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment.

Authors:  Dhakshenya Ardhithy Dhinagaran; Thirunavukkarasu Sathish; Tobias Kowatsch; Konstadina Griva; James Donovan Best; Lorainne Tudor Car
Journal:  JMIR Form Res       Date:  2021-11-11

3.  Effects of Emotional Expressiveness of a Female Digital Human on Loneliness, Stress, Perceived Support, and Closeness Across Genders: Randomized Controlled Trial.

Authors:  Kate Loveys; Mark Sagar; Xueyuan Zhang; Gregory Fricchione; Elizabeth Broadbent
Journal:  J Med Internet Res       Date:  2021-11-25       Impact factor: 5.428

4.  Chatbot-Delivered COVID-19 Vaccine Communication Message Preferences of Young Adults and Public Health Workers in Urban American Communities: Qualitative Study.

Authors:  Rose Weeks; Lyra Cooper; Pooja Sangha; João Sedoc; Sydney White; Assaf Toledo; Shai Gretz; Dan Lahav; Nina Martin; Alexandra Michel; Jae Hyoung Lee; Noam Slonim; Naor Bar-Zeev
Journal:  J Med Internet Res       Date:  2022-07-06       Impact factor: 7.076

5.  Exploring Users' Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study.

Authors:  Alice Alphonse; Kezia Stewart; Jamie Brown; Olga Perski
Journal:  JMIR Form Res       Date:  2022-07-07

Review 6.  The Development and Use of Chatbots in Public Health: Scoping Review.

Authors:  Lee Wilson; Mariana Marasoiu
Journal:  JMIR Hum Factors       Date:  2022-10-05

7.  Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences.

Authors:  Vivian P Ta-Johnson; Carolynn Boatfield; Xinyu Wang; Esther DeCero; Isabel C Krupica; Sophie D Rasof; Amelie Motzer; Wiktoria M Pedryc
Journal:  JMIR Hum Factors       Date:  2022-10-03

8.  Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint.

Authors:  Jingwen Zhang; Yoo Jung Oh; Patrick Lange; Zhou Yu; Yoshimi Fukuoka
Journal:  J Med Internet Res       Date:  2020-09-30       Impact factor: 5.428

Review 9.  Acceptability of digital health interventions: embracing the complexity.

Authors:  Olga Perski; Camille E Short
Journal:  Transl Behav Med       Date:  2021-07-29       Impact factor: 3.046

  9 in total

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